docstr: prediction function for sparsity correction
docstr_tok: ["prediction","function","for","sparsity","correction"]
code: def predict_fn_for_sparsity(self, input_instance):
      """prediction function for sparsity correction"""
      input_instance = self.model.transformer.transform(
          input_instance
      ).to_numpy()
      return self.predict_fn(
          tf.constant(input_instance, dtype=tf.float32)
      )
  
imports: import copy
  import random
  import timeit
  import numpy
  import tensorflow
  from dice_ml import diverse_counterfactuals
  from dice_ml.counterfactual_explanations import CounterfactualExplanations
  from dice_ml.explainer_interfaces.explainer_base import ExplainerBase
label_desc: Use image node_id 4 for calling the DiceTensorFlow2 obj's underlying member method code with example usage: obj.predict_fn_for_sparsity(input_instance) and returns: self